Evidence map›Paper›PMID 38173007›Full record

ArticleJournal of cardiothoracic surgery2024

Robotic-assisted right upper lobectomy with systemic pulmonary vein anomaly: a case report.

Wenwu Liu, Shaohua Xie, Kaixin Zhang, Yingzhi Zhao, Xin Gao, Wei Dai, Qiuling Shi, Bin Hu, Qiang Li, Xing Wei

Abstract readCase Reports
In one paragraph

Article in Journal of cardiothoracic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Wenwu LiuDepartment of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of the University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Chengdu, 610041, China.ORCID http://orcid.org/0000-0002-9377-7761
Shaohua XieDepartment of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of the University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Chengdu, 610041, China.ORCID http://orcid.org/0000-0001-7109-6829
Kaixin ZhangGraduate School, Chengdu Medical College, Chengdu, Sichuan, China.ORCID http://orcid.org/0000-0003-1882-4182
Yingzhi ZhaoDepartment of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of the University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Chengdu, 610041, China.ORCID http://orcid.org/0009-0002-2314-8916
Xin GaoDepartment of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of the University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Chengdu, 610041, China.ORCID http://orcid.org/0000-0002-3089-2279
Wei DaiDepartment of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of the University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Chengdu, 610041, China.ORCID http://orcid.org/0000-0003-1650-1590
Qiuling ShiDepartment of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of the University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Chengdu, 610041, China.ORCID http://orcid.org/0000-0003-0660-3809
Bin HuDepartment of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of the University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Chengdu, 610041, China.ORCID http://orcid.org/0000-0002-7609-8222
Qiang Li *Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of the University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Chengdu, 610041, China. liqiang@sichuancancer.org.ORCID http://orcid.org/0000-0003-1841-4132
Xing Wei *Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of the University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Chengdu, 610041, China. xing.wei@scszlyy.org.cn.ORCID http://orcid.org/0000-0002-3035-5633

Funding

Natural Science Foundation of Sichuan Province 2023NSFSC1047Wu Jieping Medical Foundation 320.6750.2021-17-2
6 · The paper itself

Abstract

backgroundWhile the role of low-dose computed tomography (CT) in lung cancer screening is established, its limitations in detailing pulmonary vascular variations are less emphasized. Three-dimensional reconstruction technology allows surgeons to reconstruct a patient's bronchial and pulmonary vascular structures using CT scan results. However, low-dose CT may not provide the same level of clarity as enhanced CT in displaying pulmonary vascular details. This limitation can be unfavorable for preoperative detection of potential pulmonary vascular variations, especially in cases involving planned segmentectomy. CASE PRESENTATION: We report a case of a 58-year-old female with lung cancer, initially planned for Da Vinci robot-assisted thoracoscopic segmentectomy. Unexpectedly, during surgery, a pulmonary vein variation in the right upper lobe was discovered, leading to a change in the surgical method to a lobectomy. The patient had four variant right upper lobe veins draining into the superior vena cava and one into the left atrium. The surgery was complicated by significant bleeding and postoperative pulmonary congestion. Postoperative pathology confirmed adenocarcinoma.

conclusionsThis case highlights the importance of meticulous intraoperative exploration, particularly in cases involving planned segmentectomy, as unexpected pulmonary vein variations can significantly affect surgical decision-making. While three-dimensional reconstruction based on preoperative CT data is a valuable tool, it may not capture the full complexity of the anatomical variations. We discuss potential preoperative imaging techniques, including contrast-enhanced CT and CT angiography, as methods to better identify these variations. The enhanced visualization provided by robot-assisted surgery plays a crucial role in identifying and adapting to these variations, underscoring the advantages of this surgical approach. Our report contributes to the existing literature by providing a detailed account of how these principles were applied in a real-world scenario, reinforcing the need for surgical adaptability and awareness of the limitations of low-dose CT in complex cases.

Indexed as

Lung NeoplasmsPulmonary VeinsRobotic Surgical ProceduresVascular MalformationsEarly Detection of CancerFemaleHumansMiddle AgedPneumonectomyThoracic Surgery, Video-AssistedVena Cava, SuperiorLobectomyLung cancerPulmonary vein variationRobot-assisted surgeryThree-dimensional reconstruction technology

Identifiers

PMID38173007
PMCPMC10765919

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.